Handling Multilayer Neural Network Nonlinear Equalizer Complexity and overfitting Challenges Using L1-Regularization for 112Gbps Optical Interconnects

Govind Sharan Yadav; Chun-Yen Chuang; Kai-Ming Feng; Jyehong Chen; Young-Kai Chen

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Handling Multilayer Neural Network Nonlinear Equalizer Complexity and overfitting Challenges Using L1-Regularization for 112Gbps Optical Interconnects

Govind Sharan Yadav, Chun-Yen Chuang, Kai-Ming Feng, Jyehong Chen and Young-Kai Chen

2021 Opto-Electronics and Communications Conference, OECC 2021

2021

Appears in keyword about Physics

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Computer Networks and Communications

Electrical and Electronic Engineering

Electronic

Optical and Magnetic Materials

Atomic and Molecular Physics

and Optics

Artificial Intelligence

We propose an L1-regularized multilayer neural network nonlinear equalizer (L1PML-NLE) for inter-data-center interconnects. Compared with conventional and sparse VNLE, the L1PML-NLE reduces 81% and 57.8% complexity with improved BER performance for 40-km 112-Gb/s PAM4 transmission.

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Title: Handling Multilayer Neural Network Nonlinear Equalizer Complexity and overfitting Challenges Using L1-Regularization for 112Gbps Optical Interconnects
Translated title: Handling Multilayer Neural Network Nonlinear Equalizer Complexity and overfitting Challenges Using L1-Regularization for 112Gbps Optical Interconnects
Creators - without role: Govind Sharan Yadav - Institute of Photonics Technologies , National Tsing Hua University
Chun-Yen Chuang - Department of Photonics , National Chiao Tung University
Kai-Ming Feng - Institute of Photonics Technologies , National Tsing Hua University
Jyehong Chen - Department of Photonics , National Chiao Tung University
Young-Kai Chen - DARPA
Publication Details: 2021 Opto-Electronics and Communications Conference, OECC 2021
Identifiers: 9781943580927; 9957776337906774
Academic Unit: Institute of Photonics Technologies, College of Electrical Engineering and Computer Science, National Tsing Hua University
Language: English
Resource Type: Conference paper

Handling Multilayer Neural Network Nonlinear Equalizer Complexity and overfitting Challenges Using L1-Regularization for 112Gbps Optical Interconnects

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